Tree-Seed algorithm (TSA) is a recently developed nature inspired population-based
iterative search algorithm. TSA is proposed for solving continuous optimization problems by …

As one suitable optimization method implementing computational intelligence, ant colony
optimization (ACO) can be used to solve the traveling salesman problem (TSP). However …

To improve ant colony optimization (ACO) for traveling salesman problem (TSP), its two
main strategies which are tour construction and pheromone updating have been modified …

An artificial neural network (ANN) is used to model the frequency of the first mode, using the
beam length, the moment of inertia, and the load applied on the beam as input parameters …

Hazardous materials are harmful to both the environment and human health due to their
toxic ingredients. However, they are essential to sustain the industrial lifestyle, and …

Genetic algorithm (GA) is a well-known evolutionary optimisation method in various
operational research areas. Selection is an important operator in GA that provides a trade-off …

In this paper, the travelling salesman problem (TSP) is tackled by coronavirus herd immunity
optimizer (CHIO). TSP is the problem of finding the best tour for the salesman in order to visit …

Meta-heuristic algorithms are of considerable importance in solving optimization problems.
This importance is more highlighted when the problems to be optimized are too complicated …

In the era of mass customization, designing optimal products is one of the most critical
decision-making for a company to stay competitive. More and more customers like …

The traveling salesman problem (TSP) is one of the most representative problems in
combinatorial optimization. If we consider a salesman who has to visit n cities [77], the …